AI-Driven ETF Portfolio Management and Global Macro Investment Strategy

The chapter explores how a machine selects stock picks to minimize volatility and outperform the S&P, with a focus on popular stocks like Google and Amazon. It highlights the EquiBot model's industry-agnostic approach and its ability to identify investment opportunities across various industries. The discussion extends to launching a new AI fund in collaboration with expertise in global macro investing, alongside insights into an AI model optimizing global macro exposures through monthly rebalancing.

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On today’s show we talk to the founder of ETFmg, Sam Masucci. Sam's company is responsible for bringing the first Artificial Intelligence ETF onto the market. The name of the ticker is AIEQ, and since inception in OCT 2017, the fund has outperformed the S&P 500 by nearly twice the yield (as of July 2018). During our discussion with Sam, we ask him about the deep learning methodology and how the programmers integrated IBM Watson technology into the logic. Additionally, we talk to Sam about another artificial intelligence ETF called BIKR, which was designed and launched by the legendary investor, Jim Rogers.

IN THIS EPISODE YOU’LL LEARN:

How and why an ETF works, that is built on Artificial Intelligence
How to train a machine to start training itself
What a long only fund does when it estimates that the market will drop, but can’t short or go to cash
Ask The Investors: How can we use Price-to-Sales in our valuation process?

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